From Forbes, March 16, 2020: Researchers using data from the Fermilab-led Dark Energy Survey have identified more than 300 trans-Neptunian objects — minor planets located in the far reaches of the solar system — including well over 100 new discoveries. The research pioneers a new technique that could help astronomers in the search for undiscovered planets — including the mysterious “Planet 9.”
From Event Horizon podcast, March 19, 2020: Fermilab scientist James Annis and John Michael Godier discuss neutrinos, dark energy, dark matter and upcoming cosmological surveys in this 30-minute interview.
From Medium, March 11, 2020: Astronomers in the Dark Energy Survey, which is led by Fermilab, report the discovery of 316 minor planets beyond Neptune. Of these, 139 were entirely unknown before this new study, while 245 were seen in earlier observations by DES.
From SLAC, Jan. 13, 2020: Matching up maps of matter and light from the Dark Energy Survey, hosted at Fermilab, and Fermi Gamma-ray Space Telescope may help astrophysicists understand what causes a faint cosmic gamma-ray glow.
From DOE, Nov. 20, 2019: Fermilab scientist Antonella Palmese is quoted in this article on scientists’ efforts to get to the bottom of the nature of dark energy. These efforts include the Dark Energy Survey, hosted by Fermilab, and the Dark Energy Spectroscopic Instrument, on which Fermilab scientists are collaborators.
From UChicago News, Oct. 18, 2019: The Department of Energy has honored University of Chicago scientists Josh Frieman, also of Fermilab, and Ian Foster, also of Argonne National Laboratory, for their transformative research and scientific leadership, selecting them as part of its inaugural Office of Science Distinguished Scientist Fellowship program. Frieman was listed for “pioneering advances in the science of dark energy and cosmic acceleration, including leading the Sloan Digital Sky Survey-II Supernova Survey, co-founding the Dark Energy Survey and service as its director.”
From Inside HPC, Sept. 15, 2019: Argonne and the National Center for Supercomputing Applications use deep learning to analyze Dark Energy Survey data.
From The University of Arizona News, Aug. 1, 2019: The University of Arizona touts two members of the Dark Energy Survey who received DOE awards.